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Microsurgical Clip Obliteration of Middle Cerebral Aneurysm Using Intraoperative Flow Assessment
Published on: September 25, 2009
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Hemodynamics in growing and stable cerebral aneurysms
Daniel M Sforza1, Kenichi Kono2, Satoshi Tateshima3
1Center for Computational Fluid Dynamics, College of Sciences, George Mason University, Fairfax, Virginia, USA.
Journal of Neurointerventional Surgery
|February 6, 2015
Summary
Growing cerebral aneurysms exhibit distinct hemodynamic patterns, including altered shear rate and vorticity ratios. These blood flow characteristics can accurately predict aneurysm growth, aiding in patient management.
Area of Science:
- Neurosurgery
- Biomedical Engineering
- Fluid Dynamics
Background:
- Cerebral aneurysm evolution mechanisms are not fully understood.
- Accurate aneurysm evaluation and patient management require understanding growth predictors.
- Hemodynamic conditions are hypothesized to influence aneurysm progression.
Purpose of the Study:
- Identify hemodynamic conditions predisposing cerebral aneurysms to growth.
- Correlate specific blood flow patterns with aneurysm expansion.
- Develop predictive models for aneurysm growth based on hemodynamics.
Main Methods:
- Studied 33 intracranial unruptured aneurysms with longitudinal 3D imaging.
- Constructed patient-specific computational fluid dynamics (CFD) models.
- Compared hemodynamic characteristics of growing (n=16) vs. stable (n=17) aneurysms.
- Utilized logistic regression to assess the predictive power of hemodynamic features.
Main Results:
- Growing aneurysms showed significantly smaller shear rate ratios, higher wall shear stress concentration, smaller vorticity ratios, and smaller viscous dissipation ratios.
- Trends towards larger areas of low wall shear stress and larger aspect ratios were observed in growing aneurysms.
- Logistic regression models accurately discriminated between growing and stable aneurysms (94-100% accuracy).
Conclusions:
- Growing aneurysms exhibit complex intrasaccular flow patterns.
- These patterns result in non-uniform wall shear stress distributions, with both high concentration and large low-stress areas.
- Hemodynamic feature-based statistical models show strong potential for discriminating between growing and stable aneurysms.
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